TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Illinois vs Ohio St.
kalshi

What is the result of Illinois vs Ohio St?

Volume:
$8,136,419

Ohio St.

 - Kalshi

Ohio St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 26, 2026

Closed: Sep 26, 3:40 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Ohio St.

View
100%
3%
Yes 100¢No 0¢
100¢
N/A
$5,093,239
N/A
N/A
$4,525,375
Settled
Yes
kalshi

Illinois

0%
4%
Yes 0¢No 100¢
100¢
N/A
$3,043,179
N/A
N/A
$2,399,889
Settled
No
Total markets: 2

Intro

This market tracks whether Ohio State will win its college football game against Illinois. Currently, the probability of Ohio St. wins is 97.0%, while Illinois wins is at 4.0% on Kalshi. The market will resolve based on the outcome of the Illinois vs Ohio St. college football game originally scheduled for Sep 26, 2026, as reported by the game’s official result. Keep an eye on the game itself, as the market will resolve to Yes if Ohio State wins the match scheduled for September 26, 2026.

Kalshi

The market resolves based on the winner of the Illinois vs Ohio State college football game scheduled for September 26, 2026. If Ohio State wins, the Ohio State market resolves to Yes, and the Illinois market resolves to No. Conversely, if Illinois wins, the Illinois market resolves to Yes, and the Ohio State market resolves to No. If the game is postponed but starts within 48 hours of the original time, both markets remain open and resolve based on the final result. If the game is cancelled or does not start within 48 hours of the scheduled time, both markets resolve to a fair price, ensuring equitable treatment for all participants.

Frequently asked questions

On Kalshi, the dashboard for the Illinois vs Ohio State game tracks the current odds of various outcomes, including which team will win. It also displays a price history chart, showing how the probabilities have shifted over time as traders buy and sell contracts. You can also see the 24-hour trading volume, which currently stands at $7,953,153, and the total volume traded to date, which is $8,136,419. This provides a real-time view of how the crowd is assessing the likely result of the game.

Typically, prediction market odds reflect the wisdom of the crowd and can often be more accurate than initial sportsbook lines. Sportsbooks set their odds to attract balanced betting and incorporate a profit margin, whereas this market is driven purely by individuals predicting the outcome. However, as the event approaches, the odds on Kalshi and those offered by sportsbooks tend to converge as more information becomes available and both are influenced by public perception and late-breaking news. It’s common to see discrepancies initially, but they usually narrow closer to game time.

This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Illinois vs Ohio State game, as reported by a widely recognized sports news source. The market will determine which outcome has the highest probability based on trading activity up to the resolution time. Traders will then be paid out based on whether their predictions aligned with the final game result.

Several factors could significantly impact this market. Any news regarding key player injuries for either Illinois or Ohio State would likely cause shifts in the odds. Unexpected changes in coaching strategies or team performance during other games could also influence trader sentiment. Major weather forecasts impacting game conditions could also play a role. Furthermore, significant public endorsements or analysis from prominent sports commentators could sway the market, as traders react to new information and adjust their predictions accordingly.